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MESSAGE FOLLOWS:
Dear Music and Science People,
Please feel free to forward the following job information to anyone who may be interested:
Post 1: Research Fellow in Source Separation for Musical Audio Repurposing (http://jobs.surrey.ac.uk/071314)
Post 2: Research Software Developer in Musical Audio Repurposing using Source Separation (http://jobs.surrey.ac.uk/071214)
Additional information below.
Many thanks,
Mark Plumbley
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To December 2014: Director, Centre for Digital Music, Queen Mary University of London, UK
From January 2015: Professor of Signal Processing, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK
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Post 1: Research Fellow in Source Separation for Musical Audio Repurposing
http://jobs.surrey.ac.uk/071314
University of Surrey, Department of Electronic Engineering
Salary: GBP 30,434 to GBP 37,394
Closing Date: Thursday 27 November 2014
Reference: 071314
Applications are invited for a Research Fellow to work full-time on an EPSRC funded project "Musical Audio Repurposing using Source Separation" from 5 January 2015 to 30th June 2017 (30 Months). This project will develop a new approach to the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. To tackle this, the project will investigate new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation.
The candidate will be responsible for investigating and developing new and enhanced methods for high quality musical audio source separation. These may include methods based on score-informed musical source separation, sparse representations, time-frequency methods, non-negative matrix factorisation (NMF) & high-resolution NMF, and interactive methods employing user feedback. The candidate will be working as part of a team, with two other researchers focussing on perceptual evaluation methods and software development of open-source research tools.
The successful applicant is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have significant experience in audio signal processing research. Research experience in one or more of: audio source separation, audio upmixing, spatial audio coding, multichannel audio processing, musical audio analysis, automatic music transcription, sparse representations and/or machine learning is desirable.
The project will be led by Prof Mark Plumbley in the Machine Audition Lab of CVSSP, and in collaboration with the Institute of Sound Recording (IoSR). CVSSP is one of the major research centres of Surrey's Department of Electronic Engineering (EE), the top ranked UK EE department in both the RAE 2008 and in the national league tables. CVSSP is one of the largest research centres in the UK focusing on signal processing, vision, graphics and machine learning, with 120+ members comprising academic and support staff, research fellows and PhD students. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room.
Informal enquires are welcome, to: Prof Mark Plumbley ([log in to unmask]).
For further details and to apply online visit http://jobs.surrey.ac.uk/071314
We acknowledge, understand and embrace diversity.
------
Post 2: Research Software Developer in Musical Audio Repurposing using Source Separation
http://jobs.surrey.ac.uk/071214
University of Surrey, Department of Electronic Engineering
Salary: GBP 30,434 to GBP 37,394
Closing Date: Thursday 27 November 2014
Reference: 071214
Applications are invited for a Research Fellow / Research Software Developer to work full-time on an EPSRC funded project "Musical Audio Repurposing using Source Separation" from 5 January 2015 to 30th June 2017 (30 Months). This project will develop a new approach to the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. To tackle this, the project will investigate new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation, and developing new open-source research software tools.
The candidate will be responsible for developing an extensible open-source research software framework, in conjunction with other researchers in the project. The framework will include audio separation and repurposing algorithms, objective assessment tools and example datasets. They will also develop user software and demonstrators for audio repurposing, such as upmixers for MPEG Surround (SAC) and MPEG Spatial Audio Object Coding (SAOC), and will work with a specialist app developer to create a demonstrator remixing app. The candidate will be working as part of a team, with two other researchers focussing on audio source separation and perceptual evaluation methods.
The successful applicant is expected to have excellent mathematical and programming skills, as well as either a Masters degree in electronic engineering, computer science or related subject, or equivalent professional experience. They will have at least 1 year's experience in software development relevant to audio and music signal processing, in topics such as digital signal processing, acoustics, binaural audio, multichannel audio, audio coding, speech processing, and/or music information retrieval. Significant experience of development in both Python and Matlab as well as C/C++ is desirable. Research experience in audio signal processing or experience of working closely with audio signal processing researchers is also desirable.
The project will be led by Prof Mark Plumbley in the Machine Audition Lab of CVSSP, and in collaboration with the Institute of Sound Recording (IoSR). CVSSP is one of the major research centres of Surrey's Department of Electronic Engineering (EE), the top ranked UK EE department in both the RAE 2008 and in the national league tables. CVSSP is one of the largest research centres in the UK focusing on signal processing, vision, graphics and machine learning, with 120+ members comprising academic and support staff, research fellows and PhD students. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room.
Informal enquires are welcome, to: Prof Mark Plumbley ([log in to unmask]).
For more information and to apply online, visit http://jobs.surrey.ac.uk/071214
We acknowledge, understand and embrace diversity.
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--
Prof Mark D Plumbley
Director, Centre for Digital Music
School of Electronic Engineering & Computer Science
Queen Mary University of London
Mile End Road, London E1 4NS, UK
Tel: +44 (0)20 7882 7518
Email: [log in to unmask]
Twitter: @markplumbley @c4dm
http://www.eecs.qmul.ac.uk/~markp/
From January 2015:
Professor of Signal Processing
Centre for Vision, Speech and Signal Processing (CVSSP)
University of Surrey
Guildford, Surrey, GU2 7XH, UK
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